Remigiusz Mietła

Construction, deployment and evaluation of autonomous robots, including drones and ground vehicles, for research projects of the group.

Software development for drones in C++, Python and ROS/ROS 2 on Linux. GNSS-denied navigation using visual-inertial odometry (VIO). Real-time object detection and tracking with neural networks, deployed on NVIDIA Jetson Orin/Xavier, Radxa, Raspberry Pi and Hailo accelerators. Work on drone swarm coordination and hardware integration.

Specialization: Intelligent Control Systems. Master's thesis: "Autonomous control of a micro-drone swarm within a MoCap system’s feedback loop".

Engineering thesis: "Localization and counting of objects using UAV sensor data fusion".

Second place in the international UAV Competition held alongside the IEEE ICUAS conference, competing with university teams from around the world as a member of the AVADER AGH team.

Fourth place in the international UAV Competition, which drew 26 teams. The task was an urban search mission with a swarm of three Crazyflie drones that had to locate visual markers while keeping line-of-sight communication with the base station. The five best teams advanced to the finals with real drones in Charlotte, USA.

First place in the Automatic Control, Robotics and Autonomous Systems section for three consecutive years.

Second place in the international competition held as part of the IEEE RAS Summer School on Multi-Robot Systems in Prague, with the final round carried out in outdoor experiments with real multi-UAV systems.

Fourth place in the finals of the international UAV Competition, after placing 6th of 23 teams in the simulation phase. The task was autonomous fruit counting with a UAV equipped with an RGB camera and a depth sensor. The solution was published at the Automation 2025 conference.